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Dataiku doesn’t put a real price on its own website. What it puts there is a free “Discover” edition, a 14-day cloud trial, and a “Contact us” button for everything above that — which means most people searching “Dataiku pricing” aren’t actually short on information, they’re short on a number. This guide gives you the real structure of what Dataiku costs, what its free tier and trial genuinely let you do versus what’s gated, and — since not every team that lands here actually needs a full end-to-end data science platform — an honest look at when a narrower, faster tool like Pecan AI is the better fit instead. Figures below are dated because vendor pricing pages change; treat anything without a public source as an estimate to verify at signup, not a quote.
What’s included in Dataiku’s free (Discover) tier?
Dataiku’s free offering is a locally-installed edition — not a hosted account — available for Mac OS 10.9+, GNU/Linux, and an experimental Windows build (verified against Dataiku’s own site, August 2026). It gives you “full infrastructure control” of the platform on your own machine: the visual data-prep and pipeline-building interface, the same recipes and visual ML tooling the paid product uses, running locally rather than on Dataiku’s cloud. It’s genuinely useful for exactly what it sounds like — one person exploring data prep, building a pipeline, or prototyping a model on their own laptop before deciding whether the paid product is worth it to a team. It is not a scaled-down team plan; there’s no multi-user cloud workspace, no managed infrastructure, and no built-in path to production deployment without upgrading.
What does Dataiku’s free trial actually let you test?
The free trial is a different thing from the free edition, and the two get conflated constantly in “Dataiku pricing” searches. The trial is a 14-day, cloud-hosted instance, no credit card required (confirmed on Dataiku’s site, August 2026). During those 14 days you get:
- Full feature access except Dataiku Govern (the governance/MLOps oversight layer) and the more advanced LLM Mesh capabilities — everything from data prep and analysis through model building and deployment is otherwise open.
- Up to 2 users in the trial workspace, so you can test collaboration, not just solo use.
- 4 CPUs and 32GB of elastic compute, plus 1 API service node for testing a deployed model endpoint.
- A ready-to-use instance within a few minutes of signup — no infrastructure setup on your end.
In practice, this is enough to build and evaluate a real pipeline end-to-end, including a deployed model, but not enough to judge how the platform behaves at the scale, user count, or governance requirements a production rollout actually needs — that’s a deliberate gap the trial doesn’t close, because that’s exactly what the sales conversation is for.
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How is Dataiku priced above the free tier (Business vs. Enterprise)?
Above Discover and the trial, Dataiku has no public price list — Business and Enterprise tiers are quote-only, scoped by Dataiku’s sales team to your user count, deployment footprint, and support level. That’s confirmed structurally (there is no pricing page with numbers on it), but the actual figures below are not from Dataiku directly — they’re third-party aggregator estimates (Mammoth.io, ToolRadar, ITQlick, among others reporting similar ranges as of 2026) and should be treated as indicative, not authoritative:
- Entry-level paid deployments are commonly cited starting around $4,000/month for smaller teams.
- One aggregator, citing a former Dataiku sales representative, put platform-tier pricing around €50k/year with per-user fees from roughly €100 to €5,000/year, scaling toward roughly €250k/year at the Enterprise tier for larger deployments.
Whether any of that matches what you’d actually be quoted depends heavily on user count, connector needs, deployment environment (cloud vs. on-prem), and support tier — the only way to get a real number is a call with Dataiku sales. If that alone is a dealbreaker for your team, that’s worth knowing before you invest time in a sales process.
Dataiku price vs Dataiku pricing — is there a difference?
No — “Dataiku price” and “Dataiku pricing” are the same search intent phrased two ways (singular vs. general), and everything in this guide answers both. Neither phrasing gets you a different or more specific answer from Dataiku itself; the site’s structure (free tier, free trial, quote-gated paid tiers) is identical regardless of which term you searched.
What limits does the free Dataiku plan have (users, data volume, connectors)?
Dataiku’s current marketing pages don’t publish itemized numeric caps (a specific user count, a specific data-volume ceiling, or a specific connector list) for the free Discover edition — that’s a real gap in what’s publicly documented, not an oversight in this guide. What is consistently true, based on the edition’s own description and how it’s packaged: it’s a single-machine, local install with no built-in clustering or high-availability, which functionally caps it to what one machine and, in practice, one or a small handful of people working directly on it can do. Connector coverage for the free edition is narrower than the full paid connector catalog — if your evaluation depends on a specific database, warehouse, or SaaS connector, confirm it’s included in Discover before you build a real test around it, rather than assuming parity with the paid product.
How long is the Dataiku free trial and what happens after it ends?
14 days, starting from signup, with no credit card required to start (as of August 2026). After the 14 days, the trial workspace doesn’t automatically convert to a paid plan — Dataiku’s own guidance is to contact support directly if you need more time, and an extension is granted through that request rather than as a standing self-service option. There’s no published auto-charge at the end of the trial, but there’s also no guarantee of an automatic extension — plan your evaluation to fit inside the window, or ask for more time before it runs out rather than after.
Who Dataiku’s free tier and full platform are genuinely right for
Dataiku earns its complexity when the job actually needs it: a team doing broad data wrangling across many source systems, building visual pipelines multiple people touch, and collaborating across personas — analysts, data engineers, and data scientists all working in the same platform rather than handing files between tools. The free Discover edition is a legitimately good fit for a solo analyst or a very small team doing local data prep and exploration before committing budget, and the trial is a fair way to pressure-test the full platform’s breadth. If your organization’s actual need is that breadth — not just predictive modeling, but a general-purpose data-science platform multiple roles share — Dataiku’s paid tiers, quote-gated as they are, are the right category of tool to be evaluating.
Where a narrower tool like Pecan AI fits instead
Pecan AI is not trying to be a Dataiku replacement, and it’s worth being direct about that rather than pretending otherwise. Dataiku is a general-purpose, end-to-end data science platform — Pecan AI is a focused, automated predictive-modeling tool built for teams whose actual need is a fast answer to a specific business question (who’s likely to churn, what demand looks like next quarter, which leads convert) without standing up a full platform or a data science team to get there. Pecan automates the feature-engineering and modeling work a Dataiku pipeline would otherwise require a skilled builder to assemble by hand.
| Need | Better fit |
|---|---|
| Broad data prep/ETL across many source systems | Dataiku |
| Multi-persona collaboration (analysts + data scientists + engineers) in one platform | Dataiku |
| Visual pipeline building as a standing team capability | Dataiku |
| Fast, automated predictive modeling on tabular business data, minimal setup | Pecan AI |
| Small team, no dedicated data science hires, needs an answer not a platform | Pecan AI |
| Governance/MLOps oversight at enterprise scale | Dataiku (Enterprise tier) |
If you’re the team on the right side of that table — no need for the breadth, just a fast, focused route from a business question to a working predictive model — it’s worth trying before a Dataiku sales conversation, not after.
FAQ
Is Dataiku free forever or time-limited?
Both exist, and they answer different questions. The locally-installed Discover edition is free with no stated expiration — it’s not a time-limited trial. The cloud-hosted trial, which is what most people mean when they ask about “free Dataiku” for evaluating the full platform, is time-limited to 14 days.
Do you need a sales call to get real Dataiku pricing?
Yes. Business and Enterprise tier pricing is not published anywhere on Dataiku’s own site as of August 2026 — it’s quote-based, scoped to your user count and deployment needs through a conversation with Dataiku’s sales team. The figures earlier in this guide are third-party estimates, not a substitute for that quote.
What’s a lighter-weight alternative to Dataiku for a small data team?
Pecan AI is the clearest fit if your actual need is predictive modeling rather than a full data science platform — it’s built to get a small team to a working model fast, without the setup and role-breadth Dataiku assumes. It’s not a substitute for Dataiku’s broader data-prep and multi-persona capabilities if you genuinely need those; it’s a substitute for standing up all of that when what you actually need is one good model, quickly.
